Crypto
The crypto solution using InfluxDB provides developers with real-time visibility into currencies, Bitcoin prices, transactions, infrastructure, validators, and clients.
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Why a purpose-built time series database?
Time-stamped data is ingested, collected, and transformed by developers to trigger workflows or alerts. The data includes measurements or events that are tracked, monitored, downsampled, and aggregated over time.
Why InfluxDB for crypto?
There’s a lot more to the crypto business than the price of Bitcoin. As the most complex emerging technologies, crypto startups and old-school challengers alike struggle to compete when it comes to pace of innovation, the scramble for faster transactions, and low-fee enablement of on-chain solutions across DeFi, NFTs, and Web3. These challenges can quickly overwhelm both your dev teams and technology.
Holding on for dear life
Too many promising crypto startups end up as has-beens because they failed early on to consider their most significant asset—the real-time streams of data from their software, infrastructure, and transactions.
How InfluxDB can help
Whether you are building apps or even a network, you can use InfluxDB to capture, store, and analyze data from your infrastructure, validators, clients, and on-chain transactions and provide the visibility and insights needed to make sure the technology performs, the infrastructure stands, and the transactions are executed securely and efficiently.
Getting started
InfluxDB stores all of the data using a time series index, which means that the precise time (to the nanosecond if needed) is retained and used to organize, order, and analyze the events that represent the activity of your technology and customers. Analyze and report on this data using InfluxDB to improve transaction performance, reduce latency, or identify fraud and other security threats.
Related resources for developers
Performance and innovation with open standards
We built InfluxDB 3.0 in Rust using the FDAP stack
Parquet
Open column-oriented file format designed for efficient data storage and retrieval
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